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Patient choice analysis and demand prediction for a health care diagnostics company

Author

Listed:
  • Zhang, Yue
  • Liang, Liping
  • Liu, Emma
  • Chen, Chong
  • Atkins, Derek

Abstract

This paper describes a case study for a medical diagnostic laboratory service provider to model the behavior of patients when choosing a patient service centre for their medical tests and to estimate future demand volume. A tool developed based on our methodology allows the management of the diagnostic services to experiment with locations and capacities for locating or relocating service centres. In addition to the focal firm, the methodology considers the impact of decisions on another service provider and hospital laboratories located in the same area. The methodology identifies the most significant service centre attractiveness factors. Our models are validated from different perspectives and show good predictive capability. This case study is used to draw a number of lessons for applying these types of models to other similar services in order to assist other applications.

Suggested Citation

  • Zhang, Yue & Liang, Liping & Liu, Emma & Chen, Chong & Atkins, Derek, 2016. "Patient choice analysis and demand prediction for a health care diagnostics company," European Journal of Operational Research, Elsevier, vol. 251(1), pages 198-205.
    • Handle: RePEc:eee:ejores:v:251:y:2016:i:1:p:198-205
    DOI: 10.1016/j.ejor.2015.10.055
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    Cited by:

    1. LeBlanc, Larry J. & Grossman, Thomas A. & Bartolacci, Michael R., 2019. "Ensuring scalability and reusability of spreadsheet linear programming models," Omega, Elsevier, vol. 84(C), pages 55-69.
    2. Jinli Duan & Feng Jiao & Qishan Zhang & Zhibin Lin, 2017. "Predicting Urban Medical Services Demand in China: An Improved Grey Markov Chain Model by Taylor Approximation," IJERPH, MDPI, vol. 14(8), pages 1-12, August.
    3. Zhang, Yue & Atkins, Derek, 2019. "Medical facility network design: User-choice and system-optimal models," European Journal of Operational Research, Elsevier, vol. 273(1), pages 305-319.
    4. Kyosang Hwang & Tooba Binte Asif & Taesik Lee, 2022. "Choice-driven location-allocation model for healthcare facility location problem," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 1040-1065, December.

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